|
|
Absolute deviation, 绝对离差
+ v' g$ `' g/ H+ Y$ eAbsolute number, 绝对数- @% U7 T% @. h* U' Z, x
Absolute residuals, 绝对残差, Q& U6 B2 L! k
Acceleration array, 加速度立体阵
7 j* ^8 T4 j. S& m* TAcceleration in an arbitrary direction, 任意方向上的加速度6 V$ ^) \; {$ f! r# R* _
Acceleration normal, 法向加速度% m, O3 l, z4 r% x
Acceleration space dimension, 加速度空间的维数% o2 o1 y7 s; O2 i
Acceleration tangential, 切向加速度+ W/ S0 I) ^. w8 ^2 k
Acceleration vector, 加速度向量: Q4 f# m' S. A3 }: L
Acceptable hypothesis, 可接受假设- a% \- d2 M* W: U" W- i
Accumulation, 累积
% t/ {# m& w3 [ `3 X$ [' dAccuracy, 准确度1 U. G |& i. h6 Y$ v8 c
Actual frequency, 实际频数. O( X3 T. f7 s: \2 C3 f
Adaptive estimator, 自适应估计量
9 B8 d4 n2 G" w# |. A# ^$ eAddition, 相加
% {9 L' H E' p8 W& A& x) P" }% A0 p8 fAddition theorem, 加法定理6 a* }% g/ r7 h. @) S8 q
Additivity, 可加性& L4 V; d j- e/ l
Adjusted rate, 调整率& t9 c3 |8 ?' L! Z; o% f4 X- k
Adjusted value, 校正值5 z+ g7 F$ N4 i0 {' x# D
Admissible error, 容许误差
! n7 l/ ~2 @7 v; | n4 XAggregation, 聚集性' Q7 x4 j+ x( ?4 z* K8 J% b$ [: _9 R0 U: p
Alternative hypothesis, 备择假设
2 [3 x* a0 s F: q' W8 s3 qAmong groups, 组间( Y0 j) x" B4 {% J+ r( c+ r
Amounts, 总量2 H. E! d" G# t+ R* z
Analysis of correlation, 相关分析- x, W1 u$ u% ^3 h4 @5 F B8 U
Analysis of covariance, 协方差分析
, D9 l: Y8 g. GAnalysis of regression, 回归分析5 }" W% M' Z0 Z5 J- L
Analysis of time series, 时间序列分析3 l5 Q" h6 I( @$ N/ X) u
Analysis of variance, 方差分析" w) b- N# P/ j2 n) Z
Angular transformation, 角转换
- d' A8 [7 [, G% cANOVA （analysis of variance）, 方差分析* b8 b" a: e0 `) n
ANOVA Models, 方差分析模型1 ?" B# D/ k% _1 c
Arcing, 弧/弧旋* _4 O% [' e& z* E4 _& I
Arcsine transformation, 反正弦变换
* B8 C8 b! l/ x f; ~4 T% mArea under the curve, 曲线面积
4 M7 e% [! Z1 FAREG , 评估从一个时间点到下一个时间点回归相关时的误差
7 ]* m" N8 H! T6 P& d% HARIMA, 季节和非季节性单变量模型的极大似然估计
+ f- Y. l. ^4 H6 \Arithmetic grid paper, 算术格纸
* Z' T" e {+ H2 OArithmetic mean, 算术平均数
5 B2 ^1 |0 Y2 s6 z! t) a DArrhenius relation, 艾恩尼斯关系5 ?2 a! _2 {. Y4 V
Assessing fit, 拟合的评估
9 c+ M* g" R7 g E% p2 d6 R9 o* ^4 TAssociative laws, 结合律
2 T- W/ x5 U' Z% @% xAsymmetric distribution, 非对称分布& N( y6 J; D) ^+ V! j& d3 U; P! h
Asymptotic bias, 渐近偏倚1 M# H& ]8 @( | K5 Q5 d
Asymptotic efficiency, 渐近效率
$ K+ D7 W- ?7 v$ p" t, N* T) KAsymptotic variance, 渐近方差! H# ~5 r2 v( r( O
Attributable risk, 归因危险度1 M3 Q& a/ q% b9 ^
Attribute data, 属性资料
8 X1 y* B% N, r. r$ @Attribution, 属性" U+ j' F* e& M; ?
Autocorrelation, 自相关
& n& C% w4 p# \Autocorrelation of residuals, 残差的自相关; E4 x. z" V# C" `
Average, 平均数. A$ @) d! x% [; a7 x* @8 |
Average confidence interval length, 平均置信区间长度 j! N+ w# f S \3 ?& |4 Y3 H. \
Average growth rate, 平均增长率- C6 g$ a" K# K; O
Bar chart, 条形图/ _8 q# d) k" Y1 Y$ {3 v
Bar graph, 条形图4 p! Z" u3 ]8 d3 P. L
Base period, 基期
) ^1 ^( |8 Z8 d) f! KBayes' theorem , Bayes定理
& ]0 h) Q! G. A/ q3 h& H0 V6 aBell-shaped curve, 钟形曲线5 h. P; {) Z( g5 ?
Bernoulli distribution, 伯努力分布. n+ ?% I; w6 [, p# v! E' z
Best-trim estimator, 最好切尾估计量
: J: t* l/ b6 h" p- ]6 s8 {% Y8 M/ S ?Bias, 偏性: l6 I4 T+ P4 X' z! X" |/ s4 S
Binary logistic regression, 二元逻辑斯蒂回归! c, r' F g0 {% S: ^ H
Binomial distribution, 二项分布2 \' J& j* |8 s! i
Bisquare, 双平方
5 z% ]; N6 v& b* T" Z! r+ tBivariate Correlate, 二变量相关
, i3 A/ N* W$ `/ ]% `Bivariate normal distribution, 双变量正态分布
. U; Y' Q o3 I, m5 X* rBivariate normal population, 双变量正态总体 e% Q& s h R6 _0 j
Biweight interval, 双权区间
* T) Q; l& u* I: sBiweight M-estimator, 双权M估计量% E L4 c$ t& g
Block, 区组/配伍组: q* ?9 c/ Z3 L! `8 ~
BMDP(Biomedical computer programs), BMDP统计软件包9 e0 |0 r* `1 Z# t% N
Boxplots, 箱线图/箱尾图
1 I7 S4 {4 X, W" r5 k) D, DBreakdown bound, 崩溃界/崩溃点. z: l" w8 F5 i; G/ X
Canonical correlation, 典型相关
/ l! g0 {2 F9 ECaption, 纵标目
Q4 N) m1 J& u2 c5 l! y OCase-control study, 病例对照研究
6 S& l- _* y) V }Categorical variable, 分类变量9 q" W- G' B+ `5 a6 Q
Catenary, 悬链线1 N. R: \5 i$ w( ]
Cauchy distribution, 柯西分布
, c4 ]) g5 _ R' R, @Cause-and-effect relationship, 因果关系, P3 d5 r+ Y# [' p" v
Cell, 单元
/ x; x: L( g+ R. A! t) zCensoring, 终检4 K4 A3 c2 }+ N* u5 z3 I1 u4 s: a7 o
Center of symmetry, 对称中心
} \# y7 {& T H$ ?Centering and scaling, 中心化和定标+ Y- c% h. X9 {' ~ p) r( @* X
Central tendency, 集中趋势7 a4 Z$ b2 k% y" n# s' t9 M
Central value, 中心值9 t4 F t; }9 T B
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测$ i) V0 B8 ]* x8 j* I. j! n" |
Chance, 机遇4 l+ `) N6 Y6 g% D
Chance error, 随机误差
- L8 j9 _1 T- ~Chance variable, 随机变量
( O; g9 k8 j N5 yCharacteristic equation, 特征方程% a- n$ X$ }$ t3 u- W, W$ }" ?& u' @
Characteristic root, 特征根4 Z' I% |1 q* f7 y+ t4 ~
Characteristic vector, 特征向量1 p; _7 H1 l8 R& P; m9 @5 F4 _
Chebshev criterion of fit, 拟合的切比雪夫准则
& ~2 h, r- o8 o4 Z6 `; qChernoff faces, 切尔诺夫脸谱图. x9 z' O) J3 H+ J5 X7 f
Chi-square test, 卡方检验/χ2检验
$ p' i) N6 v1 |& F0 J W* e0 P+ TCholeskey decomposition, 乔洛斯基分解
; g; Z; r/ L3 B) kCircle chart, 圆图 * K- t7 W S, u5 o: ]
Class interval, 组距% B( d3 `! q; b* D+ y) d
Class mid-value, 组中值, N/ {7 J2 x6 d8 A0 x/ S
Class upper limit, 组上限7 k& X; q6 Z6 C% T5 }* N
Classified variable, 分类变量# `( y( u& _" m9 s/ F! }1 i6 C
Cluster analysis, 聚类分析/ Q* d+ ?9 w- [+ U: z2 H
Cluster sampling, 整群抽样% i: K2 j5 g0 U/ M/ a
Code, 代码& |2 Y0 C' |5 s( y, Y# b4 I
Coded data, 编码数据
% v( v+ S5 Q ~3 P/ [& k' uCoding, 编码7 v. \$ W4 ?5 |. w2 v Y4 |$ p
Coefficient of contingency, 列联系数% N' t8 ~7 V% s; ~4 g
Coefficient of determination, 决定系数
' m4 U, s$ e, f* r& b" XCoefficient of multiple correlation, 多重相关系数
- E& z3 e! C4 O: O* d" mCoefficient of partial correlation, 偏相关系数# v# w2 v# [ ?( v; ?4 u
Coefficient of production-moment correlation, 积差相关系数+ v, ?' y" L. @2 ^0 T6 R
Coefficient of rank correlation, 等级相关系数( Q7 S& `& N) o5 Z3 i
Coefficient of regression, 回归系数2 P0 s. p) K$ K4 \0 s
Coefficient of skewness, 偏度系数
G4 c* P4 h+ d, i/ l2 C- sCoefficient of variation, 变异系数 L, g! }, W& I& ]+ i
Cohort study, 队列研究. H) O2 o: g; ` \/ ]5 B, K
Column, 列
4 ^: e2 o& {9 D: `! b: ^8 K( XColumn effect, 列效应
: P2 S. C0 L" _ \0 N4 t9 A/ Q0 \Column factor, 列因素0 r8 T: v0 R. h& [/ w. v+ e; J
Combination pool, 合并
6 @2 z6 m4 E+ s$ f8 X0 w! ^: c3 k6 oCombinative table, 组合表; Q/ v) G( h2 L- A/ V
Common factor, 共性因子
3 I, l0 ~ w; g+ ZCommon regression coefficient, 公共回归系数, `6 q! W+ m: ^" m+ x: P# w+ r
Common value, 共同值
4 F( V( w* K: ^$ K4 [. U J- GCommon variance, 公共方差+ d2 c% s& M) l2 l
Common variation, 公共变异: O3 \5 N+ Z3 C$ W
Communality variance, 共性方差
7 Z; y, O$ Q F L! p# gComparability, 可比性
3 f- }% a; ]3 eComparison of bathes, 批比较
: f+ J4 A! A" @0 U. V4 [1 pComparison value, 比较值
6 [7 ~* N% X* L6 V- J3 q. {8 vCompartment model, 分部模型
9 E+ D& x2 M. o. f7 S8 F) ?& HCompassion, 伸缩; B- {# @! b) F l5 S# w W
Complement of an event, 补事件
! Y; [5 J2 a0 p4 F, ^% pComplete association, 完全正相关
( E) `; x5 w# S6 nComplete dissociation, 完全不相关
3 M2 k4 H9 O$ w% b( ~Complete statistics, 完备统计量6 m' V$ V1 G, Y6 N2 m, y; K* N5 d
Completely randomized design, 完全随机化设计& X/ h2 D2 e, ~' M& E( y2 Q& G
Composite event, 联合事件
# N. e' d R6 b% b3 UComposite events, 复合事件
( I8 c- U# F( N; b2 kConcavity, 凹性" ]+ E2 J2 m5 \8 O# D5 C+ j
Conditional expectation, 条件期望
6 z5 T% ^, E: E2 EConditional likelihood, 条件似然* [3 f5 F, q% x6 d
Conditional probability, 条件概率
( \" P& }5 `2 AConditionally linear, 依条件线性
2 N/ s" t; z" ]Confidence interval, 置信区间1 H1 ^0 g* p: H2 k! S* Y1 Q
Confidence limit, 置信限
$ O6 T* |( G V' h nConfidence lower limit, 置信下限
: W: e, B5 `, B9 @ v1 o- SConfidence upper limit, 置信上限$ X; N. G* Y! {; C1 k; _
Confirmatory Factor Analysis , 验证性因子分析: ?! r# ~" f: [" r% e! s" ]
Confirmatory research, 证实性实验研究5 [# `4 E& [* ]2 w* O9 o( Y
Confounding factor, 混杂因素
4 L6 p0 d2 Y/ [8 i: N( V7 ]9 I3 @Conjoint, 联合分析
) }1 p. Z7 S4 `1 U. DConsistency, 相合性
" h2 c6 c/ a% ]0 PConsistency check, 一致性检验2 p& r& @4 @" X% I. B; |! j' S0 g
Consistent asymptotically normal estimate, 相合渐近正态估计
9 A4 c6 N8 t3 D) d, j8 ZConsistent estimate, 相合估计
, X, G# q2 M$ c, F [3 D) a2 bConstrained nonlinear regression, 受约束非线性回归
( D1 ~+ _; @& qConstraint, 约束; W" U# y5 _% e4 i& u+ w6 X g8 C
Contaminated distribution, 污染分布
J4 n+ G7 K, r- F) hContaminated Gausssian, 污染高斯分布
& z* S0 T% _9 ~% _3 T+ R' mContaminated normal distribution, 污染正态分布
# ?+ }1 Y' Y# h: r6 ~Contamination, 污染
2 }, ]6 N; G N* ^& YContamination model, 污染模型' w m7 Y* T& B, V
Contingency table, 列联表6 e8 e3 @( L% p# u' p" K/ F* k
Contour, 边界线* b1 l, N) V+ N# w5 r( \0 t
Contribution rate, 贡献率* Q5 x; d, B: @8 L, l; E+ B
Control, 对照, s2 G2 z( u% g' ?# I
Controlled experiments, 对照实验
2 [; y' s' i! W& {. ^Conventional depth, 常规深度
9 \ C# I2 [) Q6 ]0 _8 E* \Convolution, 卷积9 v- [8 ^- S6 G/ \3 D: c5 T- M
Corrected factor, 校正因子
9 g" J0 B, B3 y: KCorrected mean, 校正均值3 D0 `1 r; c) B% D0 ?) @( m
Correction coefficient, 校正系数
, }1 e+ V! N. Z( VCorrectness, 正确性
; I a S: ?1 a% F- Y% RCorrelation coefficient, 相关系数
7 r* Q! b4 n; y0 ?/ tCorrelation index, 相关指数
. t, T# \# |! X CCorrespondence, 对应0 C% p8 s/ r4 m: S5 o. M
Counting, 计数
) l9 P( |& y8 p/ k7 }! @- I3 e* yCounts, 计数/频数0 c9 l2 D1 P0 P Y$ w
Covariance, 协方差
F7 w4 e g: oCovariant, 共变
! c2 L4 v& X8 k; ICox Regression, Cox回归
& X* K, }* s# U2 W5 k: ICriteria for fitting, 拟合准则2 M/ r6 X5 r3 Y& j. m. N6 p2 E
Criteria of least squares, 最小二乘准则
o* l+ L* [& t' WCritical ratio, 临界比$ ]- ~5 h8 B& ], N
Critical region, 拒绝域# u+ }* V! u5 x! B- N8 w- D7 K0 n( E
Critical value, 临界值7 D: S- z/ |- c) u8 J, B7 `; p
Cross-over design, 交叉设计8 u. ~. Z0 \2 D |' F
Cross-section analysis, 横断面分析
! S! D( j% W0 V) nCross-section survey, 横断面调查
: G( j" g8 L: t: K8 RCrosstabs , 交叉表 1 ]5 y; C4 S" J8 n1 D$ r
Cross-tabulation table, 复合表
- `9 ~6 |7 q& u X8 X( n3 Z# UCube root, 立方根3 E7 M1 j6 q3 d' ? d4 m
Cumulative distribution function, 分布函数
/ I2 Z# ]# u' s* ^Cumulative probability, 累计概率$ ], z! ?& F4 y0 L6 a' u" F( ~8 [
Curvature, 曲率/弯曲2 m' c/ ^, {8 O5 a: r. c3 b Y% ^
Curvature, 曲率8 ~3 u5 v! Y3 r( f9 _9 o) e3 E& J& [
Curve fit , 曲线拟和 $ ?- z& Z: }; R
Curve fitting, 曲线拟合
2 j1 |/ T" T- j. LCurvilinear regression, 曲线回归
2 Q- I- N# T6 O {Curvilinear relation, 曲线关系
( g2 ^; v% t/ dCut-and-try method, 尝试法3 q2 O2 u9 z4 Z/ c
Cycle, 周期9 H7 }) k4 q! s( _, g3 [
Cyclist, 周期性
! y8 j" W, z* l5 {* UD test, D检验: k' l0 `2 W: U, ]. ^
Data acquisition, 资料收集
6 X8 E5 y7 T$ lData bank, 数据库1 u2 d/ ~6 C9 j; y
Data capacity, 数据容量6 e$ G& f4 G6 t2 ^( v
Data deficiencies, 数据缺乏2 ]1 S( b9 J" y* r
Data handling, 数据处理: D8 j- O9 `" w( [% K* O* S( i& A
Data manipulation, 数据处理
5 z" I3 I6 D- M. n& Z; u+ N8 {6 i1 ]Data processing, 数据处理
# z; G, ~9 e$ w4 J0 `Data reduction, 数据缩减) o. _, p! f: n8 v2 l/ v
Data set, 数据集
9 x. d! k9 A+ |' Y& a3 s# ZData sources, 数据来源5 g( I% u) `: A$ p9 [
Data transformation, 数据变换6 ]7 k9 O$ v6 M+ _
Data validity, 数据有效性
( l# |# _' j6 R N0 _/ \Data-in, 数据输入
4 l+ w' N8 G$ X- W6 ~% oData-out, 数据输出$ |( W3 I+ c. W" |7 y5 Q
Dead time, 停滞期' k0 ?( F& `, Y5 r0 S
Degree of freedom, 自由度9 a$ h( [1 P! x! o9 c0 P+ S* P
Degree of precision, 精密度2 z7 p$ E, \! g6 h2 m
Degree of reliability, 可靠性程度8 G. i M- \9 D
Degression, 递减
* i5 @6 K" M QDensity function, 密度函数3 C1 E9 h' ]$ ?- @8 @' j' _
Density of data points, 数据点的密度
- ~; ~ ?. b* c, y, i( _Dependent variable, 应变量/依变量/因变量4 ?! S4 R4 R8 r' e% j9 ^8 P
Dependent variable, 因变量
; N$ S2 k) k! x1 g3 \Depth, 深度
3 ^% j7 B. ^) G: g8 SDerivative matrix, 导数矩阵, c) t2 `1 G z, U
Derivative-free methods, 无导数方法: a+ E% c& G) l6 T' E2 \
Design, 设计6 Y# i" F* X8 b4 _7 u& [
Determinacy, 确定性 b' I$ {8 l, _1 S3 ~! _) G ?, R
Determinant, 行列式
# A- V1 V# \! M- @, [7 X$ SDeterminant, 决定因素+ j8 e8 G3 ?+ i2 ?
Deviation, 离差
- h! g. x+ [$ Y1 G8 mDeviation from average, 离均差
- h. Q7 j( Q) }! f+ H6 `Diagnostic plot, 诊断图# X9 u" C$ G- N. L5 x
Dichotomous variable, 二分变量& j. d' {2 w0 W+ b( ?& s
Differential equation, 微分方程
! z, R- T, M5 g; `0 q) O- FDirect standardization, 直接标准化法- n9 K, J5 b' W N# r
Discrete variable, 离散型变量
3 k3 _7 a4 I2 C& mDISCRIMINANT, 判断
$ }" I# N' H% x9 BDiscriminant analysis, 判别分析1 `& Y1 T4 F/ }/ {! {! A3 t8 u
Discriminant coefficient, 判别系数
0 z8 b7 R$ S! d+ ] l/ `Discriminant function, 判别值- o* m% _ O+ l' M
Dispersion, 散布/分散度4 U4 w8 H. p* l0 ?( J, g0 e& [- n3 O
Disproportional, 不成比例的
Z& C7 M1 G4 F* F) RDisproportionate sub-class numbers, 不成比例次级组含量: G6 Y- H1 [& O2 W W. R
Distribution free, 分布无关性/免分布; B9 D P+ k3 {9 |7 r5 j, R
Distribution shape, 分布形状6 N7 o; o* v" U' z
Distribution-free method, 任意分布法+ D1 t/ _6 ]8 k. z$ d0 j
Distributive laws, 分配律, a, V p' N* x* F
Disturbance, 随机扰动项
% p9 H6 K! N9 K; j3 EDose response curve, 剂量反应曲线8 |6 H: O5 j8 i3 X/ O* Z0 E
Double blind method, 双盲法
! f. O3 C4 m. E5 sDouble blind trial, 双盲试验' s! d" S& v# e- I
Double exponential distribution, 双指数分布
4 C" x/ k; H6 \Double logarithmic, 双对数
& u0 D( _ W: P9 ?! I) D0 @Downward rank, 降秩6 ^5 [! {, A8 b4 c) n/ m
Dual-space plot, 对偶空间图
; i. q' i) E+ a) I X \' GDUD, 无导数方法& V1 a W$ U2 f% `. ^1 ~+ O
Duncan's new multiple range method, 新复极差法/Duncan新法
: X; e* J; y+ Y. I$ M- x M v7 K# o- EEffect, 实验效应
9 u) ]3 u9 @ X7 ~) MEigenvalue, 特征值
+ E' \/ i; F2 g+ W3 X2 u: G6 FEigenvector, 特征向量
' b$ e0 j2 n" {: I- j# o" IEllipse, 椭圆6 C0 o' v+ i% K% L. e
Empirical distribution, 经验分布+ g" T2 i: t( y
Empirical probability, 经验概率单位2 x; c9 n4 D: h) |& Z4 u
Enumeration data, 计数资料
- ^. ]& u2 f3 z4 a/ K; ^8 k+ `Equal sun-class number, 相等次级组含量% n2 z- D( G! o6 S* C/ A
Equally likely, 等可能; K% V4 `3 d/ |
Equivariance, 同变性0 z. O2 B! k4 v. V* k; H3 M$ }1 y
Error, 误差/错误% J# o$ c8 o: f8 {
Error of estimate, 估计误差9 S/ Z: u+ S! i% S' H
Error type I, 第一类错误- N+ z/ f$ b! f, F% m. N1 h" O* C
Error type II, 第二类错误
6 e/ M1 q: U4 a) gEstimand, 被估量
. u9 k3 g7 i! z* |% y' REstimated error mean squares, 估计误差均方% e t7 j9 A1 s/ W* b; {% O: t
Estimated error sum of squares, 估计误差平方和! E4 k4 E7 d' B4 v( A. ]* Y$ u. Y
Euclidean distance, 欧式距离- r+ R% W4 w/ @
Event, 事件
: D( f: B* K+ [2 G- _$ I+ |Event, 事件' S. P% z% N2 c, Q
Exceptional data point, 异常数据点! u8 u7 h8 C. \# N2 T; p
Expectation plane, 期望平面
' r0 _! e ?4 g( U0 h' }Expectation surface, 期望曲面% }* ] R0 |0 \6 J8 g5 Q
Expected values, 期望值! u( `/ s u$ M6 G: F1 ]: Q( ?! N" m
Experiment, 实验
9 E% k8 T- Y- w; pExperimental sampling, 试验抽样; Q5 V1 Y) X0 q3 r4 @' ?
Experimental unit, 试验单位
- F' f2 n5 B* q8 m+ U) p2 ?$ R/ t% oExplanatory variable, 说明变量2 R& P% t: N: V4 e
Exploratory data analysis, 探索性数据分析+ n1 F. A2 o- v" K5 ? h
Explore Summarize, 探索-摘要
0 j! c* a. A2 h" GExponential curve, 指数曲线- M2 o% Q4 F, `1 K
Exponential growth, 指数式增长
* ]/ o; A' \3 i. G' tEXSMOOTH, 指数平滑方法 3 _6 B7 u9 ~( v" e. Q
Extended fit, 扩充拟合
5 k6 I5 ?, ]/ q8 y L; PExtra parameter, 附加参数/ H& y5 k* Z* Z/ K4 v4 t
Extrapolation, 外推法
8 L) ^! k% F" v' AExtreme observation, 末端观测值
+ n% o2 }5 M8 j: U: oExtremes, 极端值/极值+ [4 X V; i. f' b2 E# i
F distribution, F分布
8 x0 ?& t5 L6 S2 D( y9 zF test, F检验
6 L+ r- O" C6 [) r2 B- E' CFactor, 因素/因子
m' l% v6 P# e2 E _; ~) g! eFactor analysis, 因子分析9 `/ I8 j$ ~* z5 A" c# A3 f- h- `5 q
Factor Analysis, 因子分析- a! n0 M3 [* ^3 }/ {4 W/ U* @5 g
Factor score, 因子得分 7 z' H% X' A4 e' m7 r# w; p* w
Factorial, 阶乘
- M* i1 q: [3 T& t, C- X( c9 }Factorial design, 析因试验设计* ?- o; \0 @% m; h) g6 _8 [. |
False negative, 假阴性
/ h: x& z$ j3 x& k. k6 f) V' QFalse negative error, 假阴性错误
/ G- n/ q6 E6 ?, C+ ~* XFamily of distributions, 分布族
# T3 Q. p# B/ V: aFamily of estimators, 估计量族. M; f3 c9 b$ ~9 z5 u- b
Fanning, 扇面8 D% P) i4 A8 f! v$ t: @3 X' H! I) h% B$ K
Fatality rate, 病死率% [: l, v- W! U5 ?1 @6 L
Field investigation, 现场调查
. H% V( d/ u9 A( ~! H. zField survey, 现场调查+ P, X) f6 e: S" w8 k- w
Finite population, 有限总体
2 K' M2 z8 J4 ?' A7 l6 i: Q1 i3 TFinite-sample, 有限样本
* I0 q& D. o1 r% _; WFirst derivative, 一阶导数) ~' N$ `- Y! m
First principal component, 第一主成分
4 s' ?: C* h2 `# D0 ~ pFirst quartile, 第一四分位数, d0 {% L- \& v$ p/ x; ~) i
Fisher information, 费雪信息量& c. j' p y- d" |9 Q# g) o
Fitted value, 拟合值
$ E1 k# a6 Y4 j: }# IFitting a curve, 曲线拟合9 r% y7 F/ G& A5 p5 o
Fixed base, 定基" Z5 w8 S7 q3 x; ~$ R8 |
Fluctuation, 随机起伏
- S3 p# h5 W: b/ [Forecast, 预测
* m0 B& Q: k0 `9 UFour fold table, 四格表9 K2 }* N: W* ~$ [+ l* r
Fourth, 四分点
7 Y5 |5 d3 s m' x! Z; W% nFraction blow, 左侧比率
8 P; C% _% h" w; g- d8 b8 `Fractional error, 相对误差5 v- E9 ^+ I. c5 F M1 @
Frequency, 频率7 |' a. Z: s6 x& ^, k
Frequency polygon, 频数多边图
" w! `1 M; X8 }# Q- X, VFrontier point, 界限点* F" t. A* X( w% y+ _
Function relationship, 泛函关系
5 W1 \# h7 p0 \- vGamma distribution, 伽玛分布
. q- F" S( [* ]9 J% S) h# l9 iGauss increment, 高斯增量
4 f. e9 Y! D; Y4 w& N4 L/ wGaussian distribution, 高斯分布/正态分布
/ [: f4 g j- s3 \3 N2 F1 Z: CGauss-Newton increment, 高斯-牛顿增量
$ N3 l1 V- X8 f$ H8 |- cGeneral census, 全面普查
' i" @# _1 [& Y6 F5 WGENLOG (Generalized liner models), 广义线性模型 8 X9 L. U! w1 s, _+ h/ U! _* E: r
Geometric mean, 几何平均数( H0 ]2 j2 r% w+ R+ Y
Gini's mean difference, 基尼均差
, L- V0 s! `" v8 _1 V: O# p; IGLM (General liner models), 一般线性模型 % V9 \5 v( D- n" \! ] q( q
Goodness of fit, 拟和优度/配合度. J- ~# m R. H# T; v
Gradient of determinant, 行列式的梯度
: Q/ M1 v3 Y- `) s' i5 t) p. c2 k: R+ JGraeco-Latin square, 希腊拉丁方4 W3 `- _) Y, ], s4 \9 \. g
Grand mean, 总均值 t* d. u/ m6 N
Gross errors, 重大错误: w6 o8 n: D9 r, m' U2 n
Gross-error sensitivity, 大错敏感度
: O% _, ^' S& }& r7 h! xGroup averages, 分组平均9 P; `! x' i2 s( S
Grouped data, 分组资料
/ P3 G$ ]8 R6 F, k* ?Guessed mean, 假定平均数 a7 ]! C9 F; \& Z8 _! k
Half-life, 半衰期
2 C4 V; n! n! b/ G& C. u( hHampel M-estimators, 汉佩尔M估计量& D) @. |3 P6 M2 F
Happenstance, 偶然事件
' Y$ E; F8 e& F) g" ], M. ?' i/ v, BHarmonic mean, 调和均数
8 l5 k9 \6 [0 d( u# t0 ~- p8 \Hazard function, 风险均数
" L/ r8 H& m9 s, X* k! lHazard rate, 风险率' ^7 e$ w& j( s
Heading, 标目
6 o# n8 a0 x" S4 U# @; Q8 PHeavy-tailed distribution, 重尾分布
& X0 {( x: w2 q: t) E& OHessian array, 海森立体阵% b: T: \ v* T" [$ `
Heterogeneity, 不同质6 M- n e8 x8 @8 L+ w4 k% `7 s
Heterogeneity of variance, 方差不齐 8 C7 A$ A4 g7 S$ B9 V$ ?+ g
Hierarchical classification, 组内分组
. V V" H2 Z- R8 ZHierarchical clustering method, 系统聚类法
4 Q. |/ c1 l: e! n2 PHigh-leverage point, 高杠杆率点" @3 {# _+ T5 P8 t) ]$ n! S% D( n
HILOGLINEAR, 多维列联表的层次对数线性模型/ K# G4 l, R; m I+ r7 a7 r8 }+ f
Hinge, 折叶点
& |; ?5 |7 E3 bHistogram, 直方图
1 D3 t J4 c1 k5 |' }Historical cohort study, 历史性队列研究
5 {1 V# ]# {: hHoles, 空洞
& ^# S6 I4 q- T1 r7 a$ s0 z. fHOMALS, 多重响应分析; B) g9 ^3 X( Y5 [9 r, G
Homogeneity of variance, 方差齐性* U/ C5 u, |" [# F# s3 G1 z
Homogeneity test, 齐性检验
$ {0 a( x( Q& i& M& X( M$ Y7 DHuber M-estimators, 休伯M估计量
/ z6 Q5 \( E+ N! I) n } RHyperbola, 双曲线: t& A! K; ^0 n( i: v9 j# a
Hypothesis testing, 假设检验
- o# m" y+ a* \6 f( WHypothetical universe, 假设总体
! ?* `2 R* [7 GImpossible event, 不可能事件
% E- x, e, v3 m' T- b* pIndependence, 独立性+ y; r0 c B6 _+ M5 k8 |* k) }
Independent variable, 自变量6 l2 [- z- ?. |$ Q
Index, 指标/指数
- Q; P6 v( B8 `+ d+ U6 ?Indirect standardization, 间接标准化法
' u/ e# Q& b, w" C' HIndividual, 个体$ e1 p M" f: x: Y- I1 k6 |( G
Inference band, 推断带* b. \7 {0 p" g1 V9 E8 \
Infinite population, 无限总体) Q* P2 R8 ?! F6 h; _2 R
Infinitely great, 无穷大
3 `& J- H; ?+ v4 h, ]: I' tInfinitely small, 无穷小' Z$ j V% {. q# L+ x
Influence curve, 影响曲线
0 R$ a, k5 }7 D" ]6 M& P. Z, ]5 LInformation capacity, 信息容量
( c0 C8 W0 L7 wInitial condition, 初始条件
; t3 [& `" ^" J9 |0 s: y- oInitial estimate, 初始估计值
! ]* t# K! O& \" b( F& a iInitial level, 最初水平
/ S0 c9 [0 ~' _' a- Y4 LInteraction, 交互作用3 h/ ]2 ]6 h, Z8 p7 }# X
Interaction terms, 交互作用项
; ?5 r1 Z M, VIntercept, 截距
5 L" J4 x; ?$ I( VInterpolation, 内插法- `$ w$ j9 F6 |& N: V+ o7 d
Interquartile range, 四分位距
. L' t3 w: }9 S. w+ ]Interval estimation, 区间估计# ?& l( ]3 {& R( J! v2 D+ s2 o
Intervals of equal probability, 等概率区间( s* Y+ H: q y8 d( W6 {: N
Intrinsic curvature, 固有曲率, Z2 Z" D- m7 b/ K- E" L8 x
Invariance, 不变性
: t. }7 _3 K( E4 B4 qInverse matrix, 逆矩阵- C; L- \+ O, }! W& v) O
Inverse probability, 逆概率
0 _+ V/ T3 I6 K, L# KInverse sine transformation, 反正弦变换
- o7 Z: x3 e, }! |Iteration, 迭代
# L$ W0 w, t5 eJacobian determinant, 雅可比行列式
# i) G% }% O# s) `. B0 [Joint distribution function, 分布函数9 a% s$ C8 a% }7 p
Joint probability, 联合概率) s# w1 B; l9 b
Joint probability distribution, 联合概率分布
2 u/ _* Q% L4 k* S; ~1 R& a1 ^# \0 W/ }K means method, 逐步聚类法
E- S4 J$ @/ k& ZKaplan-Meier, 评估事件的时间长度 . N/ q1 ~( k0 g7 X: _
Kaplan-Merier chart, Kaplan-Merier图
8 E+ a+ ^1 [) w# z; L: G }Kendall's rank correlation, Kendall等级相关
& k; b: H) i0 x9 RKinetic, 动力学% D: E0 p* u$ m7 i6 \6 t
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验% O) ]8 f( X, i# D
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验0 ~3 K. K* D) @# ^
Kurtosis, 峰度
; ~; `3 r1 R+ Q# ?+ x$ }Lack of fit, 失拟& {% f* x5 ~$ K6 C* ~' |& r
Ladder of powers, 幂阶梯
3 }' r" U3 T! k( ^4 ELag, 滞后
. ]8 G& U4 B9 z; b/ O5 b9 b- `Large sample, 大样本
; N. x5 s6 l1 ]! pLarge sample test, 大样本检验# V; {5 ]% |+ x5 B) N9 W- ~ r
Latin square, 拉丁方% A9 P( E m- F$ n+ Q
Latin square design, 拉丁方设计' F# C- O+ d" B8 h4 z2 G v
Leakage, 泄漏" v$ j; @% X0 f) b: m) J6 \" s
Least favorable configuration, 最不利构形2 J6 ~# H0 S9 M$ G) R7 C& @% U
Least favorable distribution, 最不利分布
! F8 `4 o, O$ [- e2 FLeast significant difference, 最小显著差法
7 Y, h9 L2 p! `( [1 t6 R" y% }Least square method, 最小二乘法
$ V) p# c* Q# a. JLeast-absolute-residuals estimates, 最小绝对残差估计1 l6 i9 t+ @" f) p* ?
Least-absolute-residuals fit, 最小绝对残差拟合
# e- N$ Q d6 Y( F5 R1 n! lLeast-absolute-residuals line, 最小绝对残差线
2 P; D% e% g! x" A- ]3 vLegend, 图例+ X' o7 G" _& x/ O
L-estimator, L估计量% v' ~, @2 G0 C% R* H; G0 F0 b
L-estimator of location, 位置L估计量7 W, d3 F' t) w# [
L-estimator of scale, 尺度L估计量
7 J! b, Y3 N& [: M. t8 ALevel, 水平4 K$ M; |4 c2 l4 s" D% l1 ]
Life expectance, 预期期望寿命: @+ E$ U% Q% R; p2 _
Life table, 寿命表8 z7 I( W, i& v/ ^. V5 F
Life table method, 生命表法% k( G2 E! F9 {1 l* y$ S9 N
Light-tailed distribution, 轻尾分布5 |3 h3 Z+ R4 i' R( \
Likelihood function, 似然函数! r2 D4 x& x- [# V0 G+ P# v; P
Likelihood ratio, 似然比
6 ?8 _3 ?! O+ {line graph, 线图
3 M6 I: r0 G4 WLinear correlation, 直线相关% g9 S& a% S' y+ t$ O+ p
Linear equation, 线性方程
& \, C1 Y! j1 C9 J' RLinear programming, 线性规划( K8 j8 j5 M3 q; C; [% V
Linear regression, 直线回归
# m8 P: _. p0 x6 Y2 \6 qLinear Regression, 线性回归% |) y5 V% N+ _; d# c! Z0 n9 l1 k/ X: S
Linear trend, 线性趋势& ]( P9 a4 l( y; Y$ Z* x9 g
Loading, 载荷 ( f( A2 ]# l8 `/ B+ b7 S+ [. E
Location and scale equivariance, 位置尺度同变性9 ]' r V- \5 a1 ^: ^( g, D4 K) H
Location equivariance, 位置同变性 a& w ? X5 L
Location invariance, 位置不变性( @+ M& K7 T0 f% H+ }
Location scale family, 位置尺度族
! T: Y( y; Q1 O2 v7 ~6 n& fLog rank test, 时序检验 7 D5 ?/ u v, h! e% L
Logarithmic curve, 对数曲线; O: Z6 M' H0 S
Logarithmic normal distribution, 对数正态分布7 c0 i, [5 v4 S" c
Logarithmic scale, 对数尺度2 p1 L$ `6 @8 y. p) a g# z
Logarithmic transformation, 对数变换
7 Z! v4 K5 v; ?4 f: ?8 x. \6 ]# zLogic check, 逻辑检查& K0 b; V' Z N9 |' Y
Logistic distribution, 逻辑斯特分布, @& o2 {, g5 Y4 D( ^
Logit transformation, Logit转换
( C8 G: q( p4 a9 WLOGLINEAR, 多维列联表通用模型
$ h4 N. P5 G, d' L/ J* [+ G# FLognormal distribution, 对数正态分布$ T1 b2 P- a4 r+ z2 z- D
Lost function, 损失函数
" `( j; f; g3 r6 WLow correlation, 低度相关
( n+ @3 E3 u7 n# CLower limit, 下限
# S) L+ p& |; Y8 S5 l2 ^0 CLowest-attained variance, 最小可达方差" }" D- l3 u/ c! }0 i) |
LSD, 最小显著差法的简称
* S- Y: Y ~8 u( E/ H+ _Lurking variable, 潜在变量
0 j6 N: T) O4 g% [ Z) g% {Main effect, 主效应7 h1 x4 j. Q+ M2 T+ G1 E
Major heading, 主辞标目
6 B! f! ~' p$ Q# y+ ~7 uMarginal density function, 边缘密度函数
' n8 M! ?7 g) a$ yMarginal probability, 边缘概率. E7 s ]8 m2 b2 O: K) W
Marginal probability distribution, 边缘概率分布+ n3 q5 T! W- o. U! q
Matched data, 配对资料; ^. M3 O6 G/ ]- C
Matched distribution, 匹配过分布
, v1 W1 W7 T2 p+ J& ?# o5 kMatching of distribution, 分布的匹配" H' f. u& b0 w# g% O
Matching of transformation, 变换的匹配+ n, x: a& l5 a' H- k# J
Mathematical expectation, 数学期望
& t# @. N1 D& `1 F' lMathematical model, 数学模型0 h+ P3 e3 C+ @7 L8 Q, A: `2 y' ?8 ]
Maximum L-estimator, 极大极小L 估计量7 Y2 _3 c! j: V' P$ J
Maximum likelihood method, 最大似然法
0 \" f9 v' N* ?Mean, 均数
0 ]% o4 Y. k0 ?, P, xMean squares between groups, 组间均方
6 G* d" ?$ |. P' I5 {Mean squares within group, 组内均方
K$ O7 ~& X8 aMeans (Compare means), 均值-均值比较
: _% ?3 X7 O2 m2 e% \Median, 中位数 q/ k& W, r1 Y" V" [( y
Median effective dose, 半数效量, n- n! l# n/ S- G
Median lethal dose, 半数致死量
. L, M7 I0 y# q, t5 vMedian polish, 中位数平滑
9 `8 y2 v! O$ Y& o, a" C8 p* jMedian test, 中位数检验+ s; n, S& l1 {" [
Minimal sufficient statistic, 最小充分统计量! I" y: Y; v5 Y0 _+ |
Minimum distance estimation, 最小距离估计6 `. f; n$ @1 S7 n: c
Minimum effective dose, 最小有效量
7 r* `/ T9 |; J" S4 FMinimum lethal dose, 最小致死量8 s9 f! s% q: H& w7 T2 E0 F
Minimum variance estimator, 最小方差估计量( p9 i9 |; T6 l( e
MINITAB, 统计软件包
U5 y, |& o6 E( wMinor heading, 宾词标目
Y2 h4 S1 t# B" O: ]2 O3 `Missing data, 缺失值
+ j9 G+ l; \) J# J" q5 D/ ]8 LModel specification, 模型的确定
8 i( ~) U0 M9 A: K, d7 _! VModeling Statistics , 模型统计
7 `# V8 O* @* S/ G1 J1 J+ tModels for outliers, 离群值模型
$ _" m! j: K5 \( Z' w! P" OModifying the model, 模型的修正0 ^5 K! @& _3 @# L; C% H
Modulus of continuity, 连续性模6 z8 \$ Q# `2 M Q" `
Morbidity, 发病率 J6 U7 ~) Y, U: W+ w& S7 R
Most favorable configuration, 最有利构形4 y7 C4 r0 b( d9 J% C2 g, D* t2 c
Multidimensional Scaling (ASCAL), 多维尺度/多维标度( q& a, U: H) c
Multinomial Logistic Regression , 多项逻辑斯蒂回归$ ?/ J; U8 \& Q; u! F1 i
Multiple comparison, 多重比较( q4 g: {" y2 \& d2 E7 A6 @
Multiple correlation , 复相关
% n& o/ h* J/ @/ d) QMultiple covariance, 多元协方差% F4 b. B: H. W* S% e
Multiple linear regression, 多元线性回归% @" s' V+ F4 {4 w- f y9 G
Multiple response , 多重选项9 J3 _8 K4 @5 ~# I9 M# N# E
Multiple solutions, 多解
! }8 Q4 G. h4 x1 ]$ Z a8 UMultiplication theorem, 乘法定理. R, T" R& e4 R; m5 a. A
Multiresponse, 多元响应! R; H2 b! i/ ?. @$ M2 U4 O; Q) j
Multi-stage sampling, 多阶段抽样* ^7 H; N( J& W- Y& O! p
Multivariate T distribution, 多元T分布 C* x+ O8 L$ K1 U
Mutual exclusive, 互不相容7 T8 d+ Y$ m& e8 w( x/ ^
Mutual independence, 互相独立
0 y4 b @6 \1 ^1 f, oNatural boundary, 自然边界! O" j/ F% S3 ?8 V$ S
Natural dead, 自然死亡
2 T* _! q; X, E/ B5 Q7 TNatural zero, 自然零2 r' g l5 c- w! M! J) ^ o; c
Negative correlation, 负相关
. s3 o) r- V# ], pNegative linear correlation, 负线性相关9 M2 @- w, I6 f8 a& G Q) @6 s2 t( B
Negatively skewed, 负偏8 C z2 ]! Q# p: U
Newman-Keuls method, q检验
9 D0 k: {+ o+ c* \8 }& uNK method, q检验3 g) v* _) k# r7 L
No statistical significance, 无统计意义9 b1 |; f; k" E
Nominal variable, 名义变量. M' O) l) A/ s5 X
Nonconstancy of variability, 变异的非定常性" R: {1 q8 [( {# j$ ^6 _
Nonlinear regression, 非线性相关
4 u) T# L& A; y2 E0 Y9 R2 A% ?Nonparametric statistics, 非参数统计
2 i- s9 [+ ?& H* Q$ |# O0 INonparametric test, 非参数检验! |7 d8 ]0 U/ v) g8 T! y% v4 C1 s
Nonparametric tests, 非参数检验
4 D" y- B. L7 E7 z( v8 I9 oNormal deviate, 正态离差+ K# H6 E& i% _/ Q/ R. b
Normal distribution, 正态分布
7 A# K) Z0 g ~. b% u# {9 aNormal equation, 正规方程组3 c+ y8 w( @! T: v$ {0 R
Normal ranges, 正常范围
5 S4 b* t+ |* DNormal value, 正常值% K& c" E2 X% P
Nuisance parameter, 多余参数/讨厌参数/ I1 s5 s$ S. X$ `6 i9 Y
Null hypothesis, 无效假设 $ u3 Q" _: }3 G8 |. `: ~) X
Numerical variable, 数值变量9 v# N8 c. T, I3 x6 \0 E5 I
Objective function, 目标函数# y5 s2 B+ `, O8 _. f% O
Observation unit, 观察单位0 M; T2 \1 H, e: L4 H$ ~2 V
Observed value, 观察值
3 P- _9 V l9 \3 P7 v! S# sOne sided test, 单侧检验- ?$ a" f# R0 z9 u7 n
One-way analysis of variance, 单因素方差分析
1 I/ [8 d$ i' o- D; ^. B& Y+ ?9 L+ eOneway ANOVA , 单因素方差分析
X& Y) Q# s0 XOpen sequential trial, 开放型序贯设计
/ y7 e! o7 [- [. s, UOptrim, 优切尾
( N6 \1 L3 x4 Y& H qOptrim efficiency, 优切尾效率
$ n9 p( O. M$ A* P% SOrder statistics, 顺序统计量6 Q& _2 i( W1 y$ g% x
Ordered categories, 有序分类' z0 k' r* z: b; u5 l! `/ }: G+ e
Ordinal logistic regression , 序数逻辑斯蒂回归
1 n8 f' F& e: r5 s* KOrdinal variable, 有序变量6 x" `2 W. r( V
Orthogonal basis, 正交基% P$ `' i2 Q1 P/ |+ ?
Orthogonal design, 正交试验设计
7 X1 K: d3 k& r/ t6 e8 u8 ]Orthogonality conditions, 正交条件
6 H0 @' x. E7 v, ]) jORTHOPLAN, 正交设计 7 }- r8 k9 Y% n+ T+ g
Outlier cutoffs, 离群值截断点
7 t$ ]! l7 J" N4 _5 o4 u7 w9 Y- ?6 BOutliers, 极端值6 a8 p! b1 g/ Q. p( p4 p& [- B
OVERALS , 多组变量的非线性正规相关
; k4 W: j; a, G* ]! [Overshoot, 迭代过度
, F& _! j5 \7 ~# {$ KPaired design, 配对设计! p# v% P- o' z+ m* r6 K/ O. W
Paired sample, 配对样本
) F& D+ y6 M' W- ~Pairwise slopes, 成对斜率
4 _$ x; n4 m" N2 D7 T5 W6 dParabola, 抛物线5 |5 m4 ^* A: v5 X- U
Parallel tests, 平行试验
( t1 a: N; W% @/ T, O5 i2 T( l l% m2 Q5 mParameter, 参数
+ U2 \7 N6 {0 Q9 G) @Parametric statistics, 参数统计; Q3 V+ H+ L$ E r3 A1 D1 ^* }
Parametric test, 参数检验
1 V d+ V6 P, u" gPartial correlation, 偏相关; B3 k6 y& |: D P8 S
Partial regression, 偏回归* y- A7 t; G2 K0 W2 N8 T' W
Partial sorting, 偏排序) i8 y" i6 ?: Z
Partials residuals, 偏残差: F3 L, n# B, b$ {7 x3 @( z
Pattern, 模式0 |7 }4 E+ h% }8 k$ K
Pearson curves, 皮尔逊曲线
- |2 M3 }( f/ g5 C4 VPeeling, 退层& p+ z6 |. T9 I' ^ p* @2 X
Percent bar graph, 百分条形图: A( E9 q1 f" c) t4 F
Percentage, 百分比" J6 T0 c, I+ E# `, E
Percentile, 百分位数
; k) X" O. g$ ]. d; qPercentile curves, 百分位曲线
2 f4 c- z/ S7 _7 V" r* O# j N+ B/ HPeriodicity, 周期性* B0 b: N& U0 h4 f1 e) X
Permutation, 排列9 D4 ^, y# N @, G9 \
P-estimator, P估计量; Y2 r* J ~% G2 P+ k/ s! W) X- \
Pie graph, 饼图# O6 k# K* r: ?
Pitman estimator, 皮特曼估计量8 P7 H, v+ H) `( B
Pivot, 枢轴量
7 g! ]) p( J7 r8 E2 GPlanar, 平坦
6 I$ {4 x4 C6 X \Planar assumption, 平面的假设
/ Z% |3 V; z8 I$ [6 xPLANCARDS, 生成试验的计划卡
" t* @- r1 X( sPoint estimation, 点估计
( ^2 {/ e( J& r- M+ bPoisson distribution, 泊松分布% c( ^# p4 P6 ^" P# s
Polishing, 平滑
5 |$ J9 e7 [- qPolled standard deviation, 合并标准差
; n c z9 y( L& L4 CPolled variance, 合并方差
& q0 ^1 p$ t K! Z9 ]; V0 K- }Polygon, 多边图
" q* L, R0 p8 R# I$ G% S6 aPolynomial, 多项式
6 w6 V/ s( u4 f6 e5 c0 CPolynomial curve, 多项式曲线) y5 e4 W/ n$ K0 {; M
Population, 总体
; ^ ]6 t1 w4 k! ]' A5 p) kPopulation attributable risk, 人群归因危险度
2 l2 q& q1 q6 q) ~0 k* |% Z) _Positive correlation, 正相关
; X, e6 d* B: s) PPositively skewed, 正偏( D) O1 m! w$ j/ _" `/ H7 r7 A
Posterior distribution, 后验分布
& J# c1 c2 I% a) iPower of a test, 检验效能, Y. }3 l2 u Q
Precision, 精密度9 a! j- }" I3 R8 G
Predicted value, 预测值
0 `- l/ j5 Y# G& L# m- O, M. m9 dPreliminary analysis, 预备性分析/ A7 d+ ], x# {# i% W
Principal component analysis, 主成分分析: f2 E% I" Y" ]0 Y
Prior distribution, 先验分布- X- s0 [; z- y. A7 r4 s$ [6 W5 o' w
Prior probability, 先验概率
. F& `6 o2 y2 n3 n2 kProbabilistic model, 概率模型) o: Z$ X" H4 v E7 f
probability, 概率7 ? j, c; A* f9 B# b
Probability density, 概率密度( R( H$ e& A- \2 H ~
Product moment, 乘积矩/协方差
9 T$ s% b' u6 ]0 C' B; d; N) N$ s' ^Profile trace, 截面迹图
! g4 |; ]/ {& R/ _0 o* dProportion, 比/构成比
+ p8 |3 s& S/ OProportion allocation in stratified random sampling, 按比例分层随机抽样# `7 x3 ~$ ?4 ^: f4 f( }( l" y# z
Proportionate, 成比例+ ~+ q0 T1 J- ]8 Y8 a1 y' l
Proportionate sub-class numbers, 成比例次级组含量
/ s0 `% Q- D% ?7 }- |0 J# P3 G" LProspective study, 前瞻性调查% ?5 ~ k2 {% U: g, a( W
Proximities, 亲近性 8 s1 a7 ~9 u. [
Pseudo F test, 近似F检验
) z+ r4 y. P& ^9 [- gPseudo model, 近似模型
# `" j8 A3 B& C' q. z5 APseudosigma, 伪标准差
- ?; l* `& u5 g7 _7 E0 v! WPurposive sampling, 有目的抽样
4 A' k, W/ Z4 ]1 PQR decomposition, QR分解; w0 K0 I D/ ~3 }' d( c
Quadratic approximation, 二次近似( r4 Z+ \: v; R1 z1 l; k o
Qualitative classification, 属性分类2 W0 i) O) y3 r4 p ^7 T2 ~5 O
Qualitative method, 定性方法
! S, w3 o& T$ y+ Y1 J5 {; Y& s2 {) SQuantile-quantile plot, 分位数-分位数图/Q-Q图
1 k4 ^: J3 Y5 y9 }, m) _Quantitative analysis, 定量分析
6 M+ R! i1 [+ P' n4 \8 IQuartile, 四分位数
( W7 q3 M/ K: eQuick Cluster, 快速聚类* f: U# L8 F7 c; l, O" A
Radix sort, 基数排序; i5 S% l2 M' s7 f0 Q" P/ {
Random allocation, 随机化分组
4 Z8 ^9 R& z+ Z/ w1 r) pRandom blocks design, 随机区组设计
6 ]6 a; A' I3 K \4 H* f4 iRandom event, 随机事件. `* i" C8 w* B! x' `( w- |) r
Randomization, 随机化1 s/ O+ k2 |9 ?/ d1 P% I* y+ G
Range, 极差/全距9 z- ^: K. h8 C+ z$ P, e
Rank correlation, 等级相关. i( ~. l; o5 n
Rank sum test, 秩和检验5 I3 z. U- m. Y0 w
Rank test, 秩检验
7 O2 e5 @" g4 h) E% c& a# `Ranked data, 等级资料6 U3 E! D! B8 u$ \2 B2 \' t
Rate, 比率
$ c5 Q9 H/ b! g7 f* YRatio, 比例
( w" `0 r. @1 u6 t& z1 [2 gRaw data, 原始资料- O, K6 n1 x: A( |% E, |
Raw residual, 原始残差& s+ ~& H; t# ^7 w$ x/ L( p& h: I
Rayleigh's test, 雷氏检验
5 ]4 e2 M& \# m! m" NRayleigh's Z, 雷氏Z值 $ W" \/ D. S$ [4 Z
Reciprocal, 倒数
! m+ Z8 F" Z1 g" u) YReciprocal transformation, 倒数变换
8 H' ]% }7 M/ s6 Q, D0 B M/ F, d& LRecording, 记录' Y* A# d, m/ u, n: b
Redescending estimators, 回降估计量
0 I h V- C+ WReducing dimensions, 降维4 B+ a! k, p) u9 c8 p2 E W
Re-expression, 重新表达% N- a+ O7 b) l& T3 Y4 ?; W
Reference set, 标准组( c u1 l8 b8 Q g" w& V
Region of acceptance, 接受域5 \/ B$ q( C0 r! z) g9 z$ U* e
Regression coefficient, 回归系数
: Y* l. n" [) B: U. ?2 f3 NRegression sum of square, 回归平方和 x! y& W% k% I7 x8 M4 E1 ~
Rejection point, 拒绝点
: ^8 S, |2 Z# U2 d' x4 [Relative dispersion, 相对离散度7 Z0 ]/ P% e! i0 v
Relative number, 相对数8 p. {* A: S* z& I, K
Reliability, 可靠性* N, f4 q( j( D3 }8 N! s; [4 r7 P
Reparametrization, 重新设置参数
1 S+ k0 n" G9 g+ }8 F4 s9 ?9 @# kReplication, 重复
) n; x% V8 v0 U! b' G2 s6 D$ S# n* VReport Summaries, 报告摘要% j2 |) O1 C8 ~2 C4 b
Residual sum of square, 剩余平方和
: j5 J$ \( j; {: V7 A, FResistance, 耐抗性9 a; _* e6 Z: Q6 }. |4 L
Resistant line, 耐抗线# F' T, Y5 H( \
Resistant technique, 耐抗技术
6 @8 f0 o3 p; `) ^1 sR-estimator of location, 位置R估计量
2 _; r5 A) B/ QR-estimator of scale, 尺度R估计量
& Q( ?5 I) J0 j1 xRetrospective study, 回顾性调查4 }$ a2 v" X0 i6 e6 e
Ridge trace, 岭迹
4 d% D) T2 Q4 Q) g( p {/ WRidit analysis, Ridit分析
$ P) O y3 O. C3 [3 \Rotation, 旋转; a' }$ p* K' \( `! l
Rounding, 舍入
* \" z5 R& x0 y& nRow, 行
/ m# f5 N% T! H8 U* J2 ]# i6 O: {9 vRow effects, 行效应
9 G9 O' a/ T8 [4 H8 f3 D4 fRow factor, 行因素 b2 d) k" b' T
RXC table, RXC表
9 L/ o/ b; `; ^3 t+ m3 `Sample, 样本
8 b0 B& b+ N1 H: v# xSample regression coefficient, 样本回归系数& ^2 q' x, p( \* D+ }& r
Sample size, 样本量
7 b& }, h4 w+ G$ rSample standard deviation, 样本标准差4 w' j, l6 D5 E3 a3 J" ?
Sampling error, 抽样误差) I, y+ s+ k0 }0 ^/ E" v
SAS(Statistical analysis system ), SAS统计软件包
, {& }8 d* p5 T4 YScale, 尺度/量表
2 y, f/ g1 t+ d* @6 f2 o) q' T7 _Scatter diagram, 散点图. r! y% j& {: ?5 n
Schematic plot, 示意图/简图
, k" E$ C+ b2 D. bScore test, 计分检验; q( Q, v, c, y+ R: L$ Y2 w3 F
Screening, 筛检
& M3 S7 S4 R" v, G+ a7 f& U! dSEASON, 季节分析 " w) o' _, u% C6 t& O" W) r4 n; G
Second derivative, 二阶导数, I2 J; w7 l; V) Q8 w* c. ?
Second principal component, 第二主成分# E& |9 l; h' [) M7 [* d: M+ O
SEM (Structural equation modeling), 结构化方程模型 ) d8 r L) v: Y5 o
Semi-logarithmic graph, 半对数图
x+ |' p; E E# A* n+ aSemi-logarithmic paper, 半对数格纸
7 m" ?) Y b. w9 y3 n5 XSensitivity curve, 敏感度曲线
; ]* Z' ~" |! x: s% _Sequential analysis, 贯序分析
+ Q5 l! m7 H" M" N: u' n XSequential data set, 顺序数据集
5 F0 ^! F0 a, K+ L$ m. E1 ySequential design, 贯序设计# h, N/ D* U& ]
Sequential method, 贯序法
8 O# l E4 `8 T; _Sequential test, 贯序检验法
( x0 l; j5 X5 @' B+ g- U' N: wSerial tests, 系列试验
9 J! P/ z; r7 GShort-cut method, 简捷法
) R9 [& ~8 k8 ZSigmoid curve, S形曲线( @: q1 e2 W2 n# I
Sign function, 正负号函数
, _& {) _& _& GSign test, 符号检验
+ q0 T6 w* k" w+ pSigned rank, 符号秩
! `5 o3 r' {9 ~- B2 s+ RSignificance test, 显著性检验4 a! b; ]& l0 `1 v; \; M5 ~& g
Significant figure, 有效数字
) D6 x* a7 A+ c& NSimple cluster sampling, 简单整群抽样
1 ]" X1 D8 u5 J, R1 \$ OSimple correlation, 简单相关/ p. }: o* t5 U* k& c* Z
Simple random sampling, 简单随机抽样+ y5 D4 Q0 ~! J2 i, |7 R
Simple regression, 简单回归6 i `6 E& n: Y: ~, i
simple table, 简单表
9 {$ Z t/ m) x+ gSine estimator, 正弦估计量
* f2 s2 k( e! f- TSingle-valued estimate, 单值估计8 R5 P. Q8 \6 \. n
Singular matrix, 奇异矩阵
1 \7 m& Z: w$ W" r+ e4 N9 eSkewed distribution, 偏斜分布
$ w4 a0 \& a$ Z& @& l2 V0 SSkewness, 偏度
7 s) ?6 a* z+ D' b; ESlash distribution, 斜线分布
4 j% d" E/ Y6 Q) c4 dSlope, 斜率) h) ?6 }+ {8 t: d5 u% u% q" X
Smirnov test, 斯米尔诺夫检验* B) J: Q" S, g# G
Source of variation, 变异来源
% k6 s2 I- j( W+ Q5 Z& wSpearman rank correlation, 斯皮尔曼等级相关1 n, y+ Q. p' y# f; y+ M' V; n, \
Specific factor, 特殊因子
- i9 s9 R9 _/ `9 P$ A+ Z! p; I: QSpecific factor variance, 特殊因子方差4 y7 x1 _8 q- a' \
Spectra , 频谱$ C& K; r# S# \( }5 l# E- g1 U
Spherical distribution, 球型正态分布
8 y$ Z S2 l/ O- h& H" C( Y! USpread, 展布# I2 V& @$ k# y0 N
SPSS(Statistical package for the social science), SPSS统计软件包$ f B* D7 S9 @ f
Spurious correlation, 假性相关
! G. _- ]) ?/ `Square root transformation, 平方根变换5 ^2 g+ n2 l& z5 i
Stabilizing variance, 稳定方差$ _1 O8 D/ O& R `
Standard deviation, 标准差# D5 U, V, S- i: j
Standard error, 标准误# L) r9 c0 Y; y9 U5 F. a0 N! @+ @! j, b
Standard error of difference, 差别的标准误
% Z$ }( n0 ^' pStandard error of estimate, 标准估计误差
* h* z7 _' T3 ?Standard error of rate, 率的标准误3 o. _. s9 y' I" C$ e, Q1 Q
Standard normal distribution, 标准正态分布1 n' K9 w0 n5 u( w: O# M
Standardization, 标准化- f* a/ \$ G8 n2 P4 n9 Q" E
Starting value, 起始值2 N8 h% x! K$ c2 ?. ]
Statistic, 统计量) H3 H9 q# {$ [0 Q- Q
Statistical control, 统计控制
8 V1 @1 Q9 z6 \- @7 K i* ?Statistical graph, 统计图6 t7 q6 A8 T q4 M' E9 W) b
Statistical inference, 统计推断- i6 r: I& Q! I7 O% c# z1 h
Statistical table, 统计表
+ S6 S& |: k$ V9 u% z4 U: SSteepest descent, 最速下降法' U0 T+ l1 Y$ z4 `" P
Stem and leaf display, 茎叶图% v0 ^/ n* a$ o( }* E! Y- c
Step factor, 步长因子% u y5 d% F+ P3 \; H" }# I
Stepwise regression, 逐步回归
5 M! Y& ^# U R4 W2 L! }4 [Storage, 存! p& W4 Q6 G4 v4 ~1 e# u' A
Strata, 层（复数）; |. Z! i( k) u/ [
Stratified sampling, 分层抽样9 t1 J1 J5 {# {& V* \& V1 D
Stratified sampling, 分层抽样$ p5 v' m8 V( ~% W: V7 Q
Strength, 强度
6 l" @* A1 y; f9 I% F5 gStringency, 严密性' C" m+ r1 {7 t+ R0 z/ M
Structural relationship, 结构关系4 l2 ?+ D6 [5 z$ H
Studentized residual, 学生化残差/t化残差! [' d! U2 [' v% R+ J- @
Sub-class numbers, 次级组含量
- x. X" w2 J4 M* @0 ySubdividing, 分割5 j5 F; a: T l9 ~- i
Sufficient statistic, 充分统计量
/ }. E% D' Y6 d& W/ \1 [/ O. nSum of products, 积和
) I3 ~' |4 y$ Q# ^Sum of squares, 离差平方和& e$ u/ s4 i0 H
Sum of squares about regression, 回归平方和1 e! _9 x: y& _8 z
Sum of squares between groups, 组间平方和
* [. S; e, [7 i' o5 C2 u sSum of squares of partial regression, 偏回归平方和& n D$ G& I. Z* p* k7 v
Sure event, 必然事件- |8 m$ I+ h3 T6 {( y" O2 [
Survey, 调查
" U. i& \) s3 D8 w* b$ J% C6 I7 g$ BSurvival, 生存分析/ G- t Y% g% p, F! B& [- M/ e
Survival rate, 生存率2 x, }0 d) T0 t0 x/ P; a+ X+ ~
Suspended root gram, 悬吊根图
" v" H; H1 V; b2 A& F$ uSymmetry, 对称
. _4 ^6 ]: X$ O" n0 C- YSystematic error, 系统误差' g( {" @: d* B1 \; R
Systematic sampling, 系统抽样3 Y- k" ?! @" ~% ~, B- p
Tags, 标签
$ L- Z. O, w5 I9 ], P/ }- B, n7 bTail area, 尾部面积
+ a; S/ y. R0 L* HTail length, 尾长# H# L/ s% p5 L) T8 G/ T0 V' O8 ]
Tail weight, 尾重
4 p9 j# @, r( ]) ^ Y, ^Tangent line, 切线6 q( j1 N# _2 y, [
Target distribution, 目标分布5 Q, |: h7 D& i4 [6 ]6 q
Taylor series, 泰勒级数# V+ S/ A' L2 Q, s
Tendency of dispersion, 离散趋势
9 \$ G+ f8 e4 `& v9 s( e+ HTesting of hypotheses, 假设检验
1 V6 K) Q. L/ q; P* d J; }, VTheoretical frequency, 理论频数
' j% [7 |3 w1 z9 N$ L# ]Time series, 时间序列
8 y8 P" X, Z1 o. B: lTolerance interval, 容忍区间4 Q( S' H' A6 \! t
Tolerance lower limit, 容忍下限) ^3 j" X& q2 H6 n
Tolerance upper limit, 容忍上限9 O& {3 S# ~6 @5 K% Y: ?1 q! t% f4 o& S
Torsion, 扰率0 e0 X6 \% m5 [- }; U3 \
Total sum of square, 总平方和
/ R2 \: e6 ~$ K) p( d$ `( YTotal variation, 总变异
7 y9 |* K \4 [+ O: VTransformation, 转换( t }0 M! T' a4 _9 |3 T) |( C
Treatment, 处理( ^3 m* _/ |( B6 \
Trend, 趋势
0 L; @8 J0 N& i+ C6 Y+ STrend of percentage, 百分比趋势- [( N1 m4 o$ u
Trial, 试验7 b# O, l# ^/ k2 N! R
Trial and error method, 试错法
1 _7 @: p3 @, m3 A. G6 z: L) JTuning constant, 细调常数* g/ q6 j& A( u: A: q3 I2 L
Two sided test, 双向检验& b8 O0 b# Y. R9 W, g
Two-stage least squares, 二阶最小平方
, T% h# v9 ?1 t( L* m7 gTwo-stage sampling, 二阶段抽样2 f; H! ?+ A; D0 W# I
Two-tailed test, 双侧检验
6 E' h0 ~8 c1 u$ ?4 l( HTwo-way analysis of variance, 双因素方差分析
* Q& f/ [& c" ]7 K9 y! cTwo-way table, 双向表' g8 J% s# d9 ~& H" L
Type I error, 一类错误/α错误( w& d; P9 U( s) o# e( j- D
Type II error, 二类错误/β错误
8 R3 ~# j1 R# m9 [: t( RUMVU, 方差一致最小无偏估计简称
# K' w; }2 f" `7 G1 Y; s5 G2 gUnbiased estimate, 无偏估计. f3 `' { E4 d5 u
Unconstrained nonlinear regression , 无约束非线性回归
4 z# I. Q/ C |* X' |- mUnequal subclass number, 不等次级组含量! p5 t% e! R0 K9 N( }) n- M' L) o2 t! y
Ungrouped data, 不分组资料
( g8 o- U5 u3 @* R! c# R1 AUniform coordinate, 均匀坐标5 r& E; [2 c( M, T4 M( y
Uniform distribution, 均匀分布# Q7 A! v8 t" r: i( F! I2 O. S
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
8 O7 Q) u7 X3 u3 }0 bUnit, 单元
9 F+ b0 x& b5 g8 hUnordered categories, 无序分类
1 w5 E* ]6 ^" j5 LUpper limit, 上限
5 q* { A& L: C9 S3 ?: ~8 \Upward rank, 升秩9 A6 m: P1 @8 ?, o) e& `( L
Vague concept, 模糊概念. M. r& U5 K- V$ g; }& J
Validity, 有效性
# g& K2 h5 a, r, Z! ]) MVARCOMP (Variance component estimation), 方差元素估计
+ q& `! c: Y$ t3 ?2 ~Variability, 变异性 p4 B$ ~$ b8 z$ }. M
Variable, 变量: P+ q/ @% u7 n
Variance, 方差
; ^' [9 ]/ d: F5 zVariation, 变异
5 Q6 B3 r; r- I1 [0 NVarimax orthogonal rotation, 方差最大正交旋转
( W) l; T' m2 m6 SVolume of distribution, 容积9 U ^8 K- Q' l% {9 o' f6 t
W test, W检验
^% H7 i0 a8 _& ]Weibull distribution, 威布尔分布4 q! _5 D' ]* X( K) U2 D) s7 O
Weight, 权数+ a, f" e c8 C# v3 f2 }
Weighted Chi-square test, 加权卡方检验/Cochran检验8 J' H& f; b; [! M# ~4 i% W, l( @
Weighted linear regression method, 加权直线回归! E- P$ s2 u5 ~' K" G
Weighted mean, 加权平均数- G7 A. D* j7 ^* I. [5 U# V. i2 [
Weighted mean square, 加权平均方差* V8 a7 @1 y |& t
Weighted sum of square, 加权平方和
F- g$ h! r3 oWeighting coefficient, 权重系数
/ j$ I- O7 o9 K0 O; C- a+ P kWeighting method, 加权法
9 c0 |* j# Z) e2 M% t" FW-estimation, W估计量7 H7 R u- [7 h; q* A0 W' J0 [
W-estimation of location, 位置W估计量: s0 L8 q* \& Z( m; r; ^
Width, 宽度
4 z! V6 T* N3 u1 w- [" J B1 d: ZWilcoxon paired test, 威斯康星配对法/配对符号秩和检验. r1 f, Q7 C3 P& S
Wild point, 野点/狂点
% ~- t* x0 i6 f. Q5 ` M3 h7 xWild value, 野值/狂值
8 G% J9 w+ a" R4 l; |' W6 RWinsorized mean, 缩尾均值! @3 g; z+ Y5 j6 Y/ Q8 d
Withdraw, 失访 ! o# v$ Y) |0 ?# g
Youden's index, 尤登指数
8 T. f$ k+ E6 _Z test, Z检验
3 G+ A( X/ C+ X8 L* \+ BZero correlation, 零相关
' l3 i3 d. m W4 \Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
